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== Literatura ==
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* Cabena, Peter, Pablo Hadjnian, Rolf Stadler, Jaap Verhees and Alessandro Zanasi (1997). ''Discovering Data Mining: From Concept to Implementation''. Prentice Hall, ISBN 978-0-13-743980-
* Feldman, Ronen and James Sanger. ''The Text Mining Handbook''. Cambridge University Press, ISBN 978-0-521-83657-9.
* Guo, Yike and Robert Grossman, editors (1999). ''High Performance Data Mining: Scaling Algorithms, Applications and Systems''. Kluwer Academic Publishers.
* Hastie Trevor, Robert Tibshirani and Jerome Friedman (2001). ''The Elements of Statistical Learning: Data Mining, Inference, and Prediction''. Springer, ISBN 978-0-387-95284-
* Liu, Bing (2007). ''Web Data Mining: Exploring Hyperlinks, Contents and Usage Data.'' Springer Verlag, ISBN 978-3-540-37881-
* {{cite journal|last=Murphy|first=Chris|date= 16. 5. 2011|title=Is Data Mining Free Speech? |journal=InformationWeek | publisher = UBM plc |pages=12 }}
* Nisbet, Robert, John Elder, Gary Miner (2009). ''Handbook of Statistical Analysis & Data Mining Applications''. Academic Press / Elsevier. ISBN 978-0-12-374765-5
* Poncelet, Pascal, Florent Masseglia and Maguelonne Teisseire, editors (October 2007). "Data Mining Patterns: New Methods and Applications", ''Information Science Reference''. ISBN 978-1-59904-162-9.
* Pang-Ning Tan, Michael Steinbach and Vipin Kumar (2005). ''Introduction to Data Mining''. ISBN 978-0-321-32136-7
* Sergios Theodoridis, Konstantinos Koutroumbas (2009). ''Pattern Recognition'', 4th Edition. Academic Press. ISBN 978-1-59749-272-0.
* Weiss and Indurkhya. ''Predictive Data Mining''. Morgan Kaufmann.
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